whisper-base-mixed_v1
This model is a fine-tuned version of carlot/whisper-base-withoutnoise on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2602
- Cer: 12.0846
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0003 | 125.0 | 1000 | 0.2491 | 11.2790 |
| 0.0001 | 250.0 | 2000 | 0.2513 | 11.2790 |
| 0.0001 | 375.0 | 3000 | 0.2576 | 11.7825 |
| 0.0001 | 500.0 | 4000 | 0.2602 | 12.0846 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.15.0
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